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17 search results for “reinforcement learning” in the Public website

• Transfer Learning in Deep Reinforcement Learning and Procedural Content Generation Research output

  In this dissertation (titled: Exploring the Synergies between Transfer in Reinforcement Learning and Procedural Content Generation) we explore how the two research fields named in the title, namely Transfer in Reinforcement Learning (TRL) and Procedural Content Generation (PCG) can synergize togethe…

• 
  Marijn Prins PhD candidate

  Faculty of Science

• 
  Andreas Sauter PhD candidate / guest

  Faculty of Science

• 
  Matthias Müller-Brockhausen Lecturer

  Faculty of Science

• Computational speedups and learning separations in quantum machine learning Research output

  This thesis investigates the contribution of quantum computers to machine learning, a field called Quantum Machine Learning. Quantum Machine Learning promises innovative perspectives and methods for solving complex problems in machine learning, leveraging the unique capabilities of quantum computers…

• 
  Ili Ma Assistant professor

  Faculty of Social and Behavioural Sciences

• 
  Tianyuan Wang PhD candidate / guest

  Faculty of Science

• 
  Aske Plaat Professor

  Faculty of Science

• Learning in Automated Negotiation Research output

  This dissertation advances automated negotiation by developing agents that can learn and adapt across diverse negotiation settings through three increasingly sophisticated approaches: automated algorithm configuration, portfolio-based strategy selection, and end-to-end reinforcement learning with graph…

• 
  Alan Kai Hassen Guest PhD candidate

  Faculty of Science

• Solving the Gravitational N-body Problem with Machine Learning Research output

  In this work, I explore the creation of new methods that optimize simulations of the gravitational N-body problem. Specifically, I take advantage of the recent popularity of Machine Learning methods to find tools that can suit this problem.

• 
  Franz Wurm Assistant Professor

  Faculty of Social and Behavioural Sciences

• 
  Steven Miletić Assistant professor

  Faculty of Social and Behavioural Sciences

• To explore the drug space smarter: Artificial intelligence in drug design for G protein-coupled receptors Research output

  Over several decades, a variety of computational methods for drug discovery have been proposed and applied in practice. With the accumulation of data and the development of machine learning methods, computational drug design methods have gradually shifted to a new paradigm, i.e. deep learning methods…

• 
  Evert van Nieuwenburg Associate professor 2

  Faculty of Science

• PNAS Paper Prize for quantum machine learning News - 14 March 2019

  ‘We hope our paper highlights the possibilities and benefits of including artificial intelligence in quantum physics to do new discoveries.’ Vedran Dunjko of the Leiden Institute of Advanced Computer Science contributed to a paper that was published in PNAS last year and now received a Cozzarelli Prize…

• 
  Zsuzsika Sjoerds Associate professor

  Faculty of Social and Behavioural Sciences